Precision Trajectory Control for Agricultural Harvesting Robots: Design and Implementationn

As a crucial component of modern agricultural equipment, picking robots have gained significant attention in research and application. To address the trajectory tracking problem of picking robots in complex agricultural environments, this paper proposes an efficient control strategy that integrates RBFNN and PSO algorithms. A precise mathematical model of the robotic arm is developed using D-H modeling, laying the foundation for the design of subsequent control strategies. Through experimental verification, this method improves the trajectory tracking accuracy of picking robots and reduces tracking errors. It introduces novel methods for the intelligent control of agricultural picking robots, which is significant for advancing automation in agriculture.